Video Analytics of Wineries

That's where our four-wheeler comes in. As we drive along, a camera
takes five high-resolution pictures of the vines every second.
Separately, a laser scanner is imaging the plants. Nuske and his
colleagues work at night to ensure that the light stays constant in the
photos, and will gather about a terabyte of data over the next few
hours. Later, a machine vision system they developed will detect
individual grapes among the foliage and calculate the number to within 5 per cent of the actual total
– far better than a human can do. Placing these grapes on the laser
scanner's 3D map of the field will reveal areas that look particularly
thin, for instance, or which need pruning.